The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Volume Exclusion and Soft Interaction Effects on Protein Stability under Crowded Conditions
Open accessAbstract
Most proteins function in nature under crowded conditions, and crowding can change protein properties. Quantification of crowding effects, however, is difficult because solutions containing hundreds of grams of macromolecules per liter often interfere with the observation of the protein being studied. Models for macromolecular crowding tend to focus on the steric effects of crowders, neglecting potential chemical interactions between the crowder and the test protein. Here, we report the first systematic, quantitative, residue-level study of crowding effects on the equilibrium stability of a globular protein. We used a system comprising poly(vinylpyrrolidone)s (PVPs) of varying molecular weights as crowding agents and chymotrypsin inhibitor 2 (CI2) as a small globular test protein. Stability was quantified with NMR-detected amide (1)H exchange. We analyzed the data in terms of hard particle exclusion, confinement, and soft interactions. For all crowded conditions, nearly every observed residue experiences a stabilizing effect. The exceptions are residues for which stabilities are unchanged. At a PVP concentration of 100 g/L, the data are consistent with theories of hard particle exclusion. At higher concentrations, the data are more consistent with confinement. The data show that the crowder also stabilizes the test protein by weakly binding its native state. We conclude that the role of native-state binding and other soft interactions needs to be seriously considered when applying both theory and experiment to studies of macromolecular crowding.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Minton, A. P. (2000) · Biophysical Journal · doi:10.1016/s0006-3495(00)76576-3 · Cited by 218
Cited by
Macromolecular Crowding In Vitro , In Vivo , and In Between
Rivas, G., & Minton, A. P. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.08.013 · Cited by 470
Macromolecular Crowding and Protein Stability
Wang, Y., Sarkar, M., Smith, A. E., Krois, A. S., & Pielak, G. J. (2012) · Journal of the American Chemical Society · doi:10.1021/ja305300m · Cited by 346
Self-citationFrom Water and Ions to Crowded Biomacromolecules: In Vivo Structuring of a Prokaryotic Cell
Spitzer, J. (2011) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00010-11 · Cited by 77
Determining Biophysical Protein Stability in Lysates by a Fast Proteolysis Assay, FASTpp
Minde, D. P., Maurice, M. M., & Rüdiger, S. G. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046147 · Cited by 37
Metadata
- Authors
- Miklos, A. C., Li, C., Sharaf, N. G., & Pielak, G. J.
- Venue
- Biochemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-30
- Volume
- 49
- Issue
- 33
- Pages
- 6984-6991
- ISSN
- 0006-2960 (ISSN-L)
- 1520-4995
- OpenAlex
- W2015707255
- Cited by
- 193
- References
- 1
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.